tf.sparse_segment_mean(data, indices, segment_ids, name=None) Computes the mean along sparse segments of a tensor.

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.MultivariateNormalFull.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.learn.monitors.StepCounter.step_end(step, output) Overrides BaseMonitor.step_end. When

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.graph

class tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor CategoricalTensor is a StochasticTensor

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.clone(name=None, **dist_args)

tf.contrib.graph_editor.transform_op_in_place(info, op, detach_outputs=False) Transform a op in-place - experimental!

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.event_shape(name='event_shape') Shape of a single sample from